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Comparative analysis of Erk phosphorylation suggests a mixed strategy for measuring phospho-form distributions

The functional impact of multisite protein phosphorylation can depend on both the numbers and the positions of phosphorylated sites—the global pattern of phosphorylation or ‘phospho-form’—giving biological systems profound capabilities for dynamic information processing. A central problem in quantit...

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Detalles Bibliográficos
Autores principales: Prabakaran, Sudhakaran, Everley, Robert A, Landrieu, Isabelle, Wieruszeski, Jean-Michel, Lippens, Guy, Steen, Hanno, Gunawardena, Jeremy
Formato: Texto
Lenguaje:English
Publicado: European Molecular Biology Organization 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3097084/
https://www.ncbi.nlm.nih.gov/pubmed/21487401
http://dx.doi.org/10.1038/msb.2011.15
Descripción
Sumario:The functional impact of multisite protein phosphorylation can depend on both the numbers and the positions of phosphorylated sites—the global pattern of phosphorylation or ‘phospho-form’—giving biological systems profound capabilities for dynamic information processing. A central problem in quantitative systems biology, therefore, is to measure the ‘phospho-form distribution’: the relative amount of each of the 2(n) phospho-forms of a protein with n-phosphorylation sites. We compared four potential methods—western blots with phospho-specific antibodies, peptide-based liquid chromatography (LC) and mass spectrometry (MS; pepMS), protein-based LC/MS (proMS) and nuclear magnetic resonance spectroscopy (NMR)—on differentially phosphorylated samples of the well-studied mitogen-activated protein kinase Erk2, with two phosphorylation sites. The MS methods were quantitatively consistent with each other and with NMR to within 10%, but western blots, while highly sensitive, showed significant discrepancies with MS. NMR also uncovered two additional phosphorylations, for which a combination of pepMS and proMS yielded an estimate of the 16-member phospho-form distribution. This combined MS strategy provides an optimal mixture of accuracy and coverage for quantifying distributions, but positional isomers remain a challenging problem.